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TheQweaker
/
mdlm-owt-noflash

Fill-Mask
Transformers
Safetensors
English
mdlm
diffusion
masked-diffusion
mechanistic-interpretability
custom_code
Model card Files Files and versions
xet
Community

Instructions to use TheQweaker/mdlm-owt-noflash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheQweaker/mdlm-owt-noflash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="TheQweaker/mdlm-owt-noflash", trust_remote_code=True, device_map="auto")
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("TheQweaker/mdlm-owt-noflash", trust_remote_code=True, dtype="auto", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mdlm-owt-noflash
679 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
TheQweaker's picture
TheQweaker
docs: link candle-mi (github) at its first mention too
8871c28 verified 7 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    7.69 kB
    docs: link candle-mi (github) at its first mention too 7 days ago
  • config.json
    489 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • configuration_mdlm.py
    1.06 kB
    Upload folder using huggingface_hub about 1 month ago
  • model.safetensors
    679 MB
    xet
    Upload folder using huggingface_hub about 1 month ago
  • modeling_mdlm.py
    14.2 kB
    Pin SDPA math backend (bit-reproducible fp32 oracle); device-aware rotary cache; drop dead dropout 28 days ago
  • sample.py
    3.27 kB
    Upload folder using huggingface_hub about 1 month ago